Long-Jye Sheu

27 total papers · 669 total citations
25 papers, 556 citations indexed

About

Long-Jye Sheu is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Modeling and Simulation. According to data from OpenAlex, Long-Jye Sheu has authored 25 papers receiving a total of 556 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Statistical and Nonlinear Physics, 6 papers in Computer Networks and Communications and 6 papers in Modeling and Simulation. Recurrent topics in Long-Jye Sheu's work include Chaos control and synchronization (12 papers), Nonlinear Dynamics and Pattern Formation (6 papers) and Fractional Differential Equations Solutions (6 papers). Long-Jye Sheu is often cited by papers focused on Chaos control and synchronization (12 papers), Nonlinear Dynamics and Pattern Formation (6 papers) and Fractional Differential Equations Solutions (6 papers). Long-Jye Sheu collaborates with scholars based in Taiwan, Macao and Indonesia. Long-Jye Sheu's co-authors include Hsien-Keng Chen, Juhn-Horng Chen, Lap-Mou Tam, Wen‐Chin Chen, Cheng‐Hsien Chen, Yu-Kai Lin, Jenn-Der Lin, Wei-Hua Chieng, Li‐Chuan Tang and Lap Mou Tam and has published in prestigious journals such as Sensors, Thin Solid Films and Fuzzy Sets and Systems.

In The Last Decade

Long-Jye Sheu

25 papers receiving 526 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Long-Jye Sheu 356 173 171 91 90 25 556
Jianping Yan 403 1.1× 312 1.8× 111 0.6× 51 0.6× 33 0.4× 16 577
Ling Zhao 283 0.8× 236 1.4× 192 1.1× 46 0.5× 56 0.6× 46 658
Jianzhe Huang 279 0.8× 186 1.1× 51 0.3× 24 0.3× 43 0.5× 47 607
Gerald Moore 107 0.3× 63 0.4× 40 0.2× 47 0.5× 38 0.4× 24 616
Milad Siami 216 0.6× 254 1.5× 197 1.2× 28 0.3× 22 0.2× 58 638
X. Wang 169 0.5× 104 0.6× 26 0.2× 28 0.3× 61 0.7× 19 604
Suh‐Yuh Yang 155 0.4× 118 0.7× 88 0.5× 45 0.5× 23 0.3× 60 659
Asai Asaithambi 75 0.2× 38 0.2× 207 1.2× 36 0.4× 121 1.3× 37 496
Khaled Moaddy 244 0.7× 93 0.5× 343 2.0× 46 0.5× 38 0.4× 21 574
Charles Pezeshki 275 0.8× 168 1.0× 16 0.1× 26 0.3× 65 0.7× 37 576

Countries citing papers authored by Long-Jye Sheu

Since Specialization
Citations

This map shows the geographic impact of Long-Jye Sheu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Long-Jye Sheu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long-Jye Sheu more than expected).

Fields of papers citing papers by Long-Jye Sheu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Long-Jye Sheu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Long-Jye Sheu. The network helps show where Long-Jye Sheu may publish in the future.

Co-authorship network of co-authors of Long-Jye Sheu

This figure shows the co-authorship network connecting the top 25 collaborators of Long-Jye Sheu. A scholar is included among the top collaborators of Long-Jye Sheu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Long-Jye Sheu. Long-Jye Sheu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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